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arXiv · 1706.06415

THUMT: An Open Source Toolkit for Neural Machine Translation

Jiacheng Zhang·Yanzhuo Ding·Shiqi Shen·Yong Cheng·Maosong Sun·Huanbo Luan·Yang Liu
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Abstract

This paper introduces THUMT, an open-source toolkit for neural machine translation (NMT) developed by the Natural Language Processing Group at Tsinghua University. THUMT implements the standard attention-based encoder-decoder framework on top of Theano and supports three training criteria: maximum likelihood estimation, minimum risk training, and semi-supervised training. It features a visualization tool for displaying the relevance between hidden states in neural networks and contextual words, which helps to analyze the internal workings of NMT. Experiments on Chinese-English datasets show that THUMT using minimum risk training significantly outperforms GroundHog, a state-of-the-art toolkit for NMT.

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Jiacheng Zhang, Yanzhuo Ding, Shiqi Shen, Yong Cheng, Maosong Sun, Huanbo Luan, Yang Liu. 2017-06-20. THUMT: An Open Source Toolkit for Neural Machine Translation. https://arxiv.org/abs/1706.06415

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